Opel N. Mbanzabugabo, Charles Kabiri, Kayalvizhi Jayavel, L. Sibomana
{"title":"车辆到基础设施网络的性能分析","authors":"Opel N. Mbanzabugabo, Charles Kabiri, Kayalvizhi Jayavel, L. Sibomana","doi":"10.1109/CommNet60167.2023.10365288","DOIUrl":null,"url":null,"abstract":"For improving traffic safety and the driving experience, vehicle-to-infrastructure (V2I) networks require ultra-reliable and low-latency connectivity. However, because of the increased mobility of vehicles, the channel is continuously varying, making it difficult to maintain low latency and high connectivity in V2I networks. Additionally, as the number of vehicles increases, sufficient resources is needed to maintain continuous internet access via a Base Station (BS). By introducing a three-tiered prioritization mechanism, this study aims at improving resource constraints in V2I networks. The highest priority (priority 1) is assigned to emergency communications, which include critical communications such as ambulance notifications, accident reports, and alerts regarding very important people. Priority 2 is assigned to data, such as road conditions and traffic information. Data concerning entertainment, such as media and ordinary communications, come into the category of low priority (priority 3). By employing this prioritization strategy, efficient resource allocation is ensured, taking into consideration different levels of urgency within services. An Analytical Priority Resources Allocation Framework (APRAF) based on M/G/1 queuing method, is developed with an objective of enhancing connectivity in the uplink of vehicles to infrastructure networks. The proposed method is evaluated using an M/G/1 queuing method where delays on queue and system are considered as main performance metrics. Using numerical analysis, the lowest latency is obtained gradually from the highest to the lowest class. As a result, the latency (waiting delay on queue and on system) for vehicles on priority 1 is very low, and in this way the connectivity is improved comparatively to existing system without priority. The waiting delay in the system for vehicles in high priority is around 66 ms while in First Come First Served model without priority, the waiting delay is infinite. The reliability is also improved for vehicles with high priority.","PeriodicalId":505542,"journal":{"name":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","volume":"159 5","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2023-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Performance Analysis of Vehicle to Infrastructure Network\",\"authors\":\"Opel N. Mbanzabugabo, Charles Kabiri, Kayalvizhi Jayavel, L. Sibomana\",\"doi\":\"10.1109/CommNet60167.2023.10365288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"For improving traffic safety and the driving experience, vehicle-to-infrastructure (V2I) networks require ultra-reliable and low-latency connectivity. However, because of the increased mobility of vehicles, the channel is continuously varying, making it difficult to maintain low latency and high connectivity in V2I networks. Additionally, as the number of vehicles increases, sufficient resources is needed to maintain continuous internet access via a Base Station (BS). By introducing a three-tiered prioritization mechanism, this study aims at improving resource constraints in V2I networks. The highest priority (priority 1) is assigned to emergency communications, which include critical communications such as ambulance notifications, accident reports, and alerts regarding very important people. Priority 2 is assigned to data, such as road conditions and traffic information. Data concerning entertainment, such as media and ordinary communications, come into the category of low priority (priority 3). By employing this prioritization strategy, efficient resource allocation is ensured, taking into consideration different levels of urgency within services. An Analytical Priority Resources Allocation Framework (APRAF) based on M/G/1 queuing method, is developed with an objective of enhancing connectivity in the uplink of vehicles to infrastructure networks. The proposed method is evaluated using an M/G/1 queuing method where delays on queue and system are considered as main performance metrics. Using numerical analysis, the lowest latency is obtained gradually from the highest to the lowest class. As a result, the latency (waiting delay on queue and on system) for vehicles on priority 1 is very low, and in this way the connectivity is improved comparatively to existing system without priority. The waiting delay in the system for vehicles in high priority is around 66 ms while in First Come First Served model without priority, the waiting delay is infinite. The reliability is also improved for vehicles with high priority.\",\"PeriodicalId\":505542,\"journal\":{\"name\":\"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)\",\"volume\":\"159 5\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CommNet60167.2023.10365288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 6th International Conference on Advanced Communication Technologies and Networking (CommNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CommNet60167.2023.10365288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance Analysis of Vehicle to Infrastructure Network
For improving traffic safety and the driving experience, vehicle-to-infrastructure (V2I) networks require ultra-reliable and low-latency connectivity. However, because of the increased mobility of vehicles, the channel is continuously varying, making it difficult to maintain low latency and high connectivity in V2I networks. Additionally, as the number of vehicles increases, sufficient resources is needed to maintain continuous internet access via a Base Station (BS). By introducing a three-tiered prioritization mechanism, this study aims at improving resource constraints in V2I networks. The highest priority (priority 1) is assigned to emergency communications, which include critical communications such as ambulance notifications, accident reports, and alerts regarding very important people. Priority 2 is assigned to data, such as road conditions and traffic information. Data concerning entertainment, such as media and ordinary communications, come into the category of low priority (priority 3). By employing this prioritization strategy, efficient resource allocation is ensured, taking into consideration different levels of urgency within services. An Analytical Priority Resources Allocation Framework (APRAF) based on M/G/1 queuing method, is developed with an objective of enhancing connectivity in the uplink of vehicles to infrastructure networks. The proposed method is evaluated using an M/G/1 queuing method where delays on queue and system are considered as main performance metrics. Using numerical analysis, the lowest latency is obtained gradually from the highest to the lowest class. As a result, the latency (waiting delay on queue and on system) for vehicles on priority 1 is very low, and in this way the connectivity is improved comparatively to existing system without priority. The waiting delay in the system for vehicles in high priority is around 66 ms while in First Come First Served model without priority, the waiting delay is infinite. The reliability is also improved for vehicles with high priority.